- Hardcover: 831 pages
- Publisher: Springer; 2013 edition (November 6, 2012)
- Language: English
- ISBN-10: 1461444624
- ISBN-13: 978-1461444626
- Product Dimensions: 6.1 x 1.8 x 9.2 inches
- Shipping Weight: 2.8 pounds (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Best Sellers Rank: #2,004,583 in Books (See Top 100 in Books)
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Handbook of Neuroevolution Through Erlang 2013th Edition
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Top Customer Reviews
After several decades of computational and biological ideas cross fertilizing each other, a computer algorithm known as 'neuroevolution' has emerged. This algorithm in essence borrows the trial-and-error process of evolution and uses it to search through a large space of neurobiological models to find ones that enable virtual creatures to compete and survive in simulated environments, robots to perform useful tasks, or computer programs to hold their own when trading in foreign exchange markets.
However, this raises the question of how this neuroevolution algorithm should be implemented. In this book, Gene Sher demonstrates how Erlang---a fault-tolerant, parallel and robust computer language developed originally for telephone exchanges---is the ideal tool for implementing neuroevolution.
The book is exremely well organized: the author guides the novice through the increasingly challenging concepts underlying neuroevolution. Along the way he provides examples in Erlang that allow the reader to `code along' with the author as he goes. This hands-on approach makes some of the more complex ideas much more accessible than they would otherwise be.
In later chapters, neuroevolution is applied to a wide range of applications, from food gathering creatures inhabiting a virtual world to more sophisticated, predatory agents that evolve the ability to hunt in packs. The author concludes by demonstrating how to evolve virtual agents that evolve increasingly sophisticated trading behaviors within a foreign exchange market.
I highly recommend this book to anyone with an interest in the state of the art in artificial intelligence, how biology is informing computer science, or how to create the next generation of intelligent machines.
Director of the Morphology, Evolution and Cognition Laboratory
The University of Vermont